Image-Based Semantic Search for Hotel Accommodations
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Solution Overview
Problem
Current hotel reservation systems face inefficiencies in searching for travel accommodations due to limited search options and inaccurate text descriptions, leading to travelers spending excessive time finding specific hotels that meet their criteria.
Innovation Solution
A system that extracts semantic data from images related to travel accommodations, using an image collector module, processor module, and output module to convert identifying characteristics into searchable text keywords, enhancing the search efficiency by enriching the database with detailed information from images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If text descriptions are used for hotel search, then search speed is improved, but search accuracy deteriorates because text descriptions may be incomplete or inaccurate
Solution Approach 1:
The patent segments the search information into multiple sources: text descriptions and image content. By dividing the search data into these separate components, the system can process and compare both text-based and image-based features independently, then integrate them to improve overall search accuracy while maintaining efficiency
Solution Approach 2:
The patent introduces image recognition technology as an intermediary between the user's search criteria and the hotel database. This intermediary extracts semantic information from hotel images, converting visual content into searchable data that complements text descriptions, thereby improving search accuracy without sacrificing speed
2Productivity
If standardized search criteria are used, then search efficiency is improved, but search versatility deteriorates because predefined criteria may not include every traveler's specific requirements
Solution Approach 1:
The patent makes the search system multi-functional by enabling it to handle both standardized text-based searches and image-based semantic searches. This universal approach allows the system to accommodate diverse search needs - from simple location-based queries to complex visual feature matching - thereby improving versatility while maintaining efficiency through automated image analysis
3Measurement precision
If manual inspection of picture galleries is performed, then search accuracy is improved, but time consumption deteriorates significantly
Solution Approach 1:
The patent performs preliminary action by automatically extracting semantic information from hotel images in advance and storing this extracted data in the database. When users perform searches, the system can immediately query this pre-processed semantic data without requiring users to manually inspect galleries, thereby achieving high search accuracy while minimizing time consumption
Data Source
AI summary
Systems, methods, and computer program products for extracting data from images related to travel accommodation, and performing a search of travel accommodation based on criteria entered by a user. The system collects images related to travel accommodation by querying data sources including images associated with the travel accommodation, processes the images so as to extract an identifying characteristic of the travel accommodation, and represents the identifying characteristic in the form of searchable text keywords and stores the searchable text keywords in the database. The system may receive a user request including travel accommodation-specific criteria via a user interface, search the database for searchable text keywords matching the criteria in the request, and cause the display of travel accommodations represented by the searchable text keywords on the user interface.